Generation of synthetic data with low-dimensional features for condition monitoring utilizing Generative Adversarial Networks

Fabian Wagner, Timo König, Moritz Benninger, Markus Kley, Marcus Liebschner. Generation of synthetic data with low-dimensional features for condition monitoring utilizing Generative Adversarial Networks. In Matteo Cristani, Carlos Toro 0001, Cecilia Zanni-Merk, Robert J. Howlett, Lakhmi C. Jain, editors, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, Verona, Italy and Virtual Event, 7-9 September 2022. Volume 207 of Procedia Computer Science, pages 634-643, Elsevier, 2022. [doi]

@inproceedings{WagnerKBKL22,
  title = {Generation of synthetic data with low-dimensional features for condition monitoring utilizing Generative Adversarial Networks},
  author = {Fabian Wagner and Timo König and Moritz Benninger and Markus Kley and Marcus Liebschner},
  year = {2022},
  doi = {10.1016/j.procs.2022.09.118},
  url = {https://doi.org/10.1016/j.procs.2022.09.118},
  researchr = {https://researchr.org/publication/WagnerKBKL22},
  cites = {0},
  citedby = {0},
  pages = {634-643},
  booktitle = {Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, Verona, Italy and Virtual Event, 7-9 September 2022},
  editor = {Matteo Cristani and Carlos Toro 0001 and Cecilia Zanni-Merk and Robert J. Howlett and Lakhmi C. Jain},
  volume = {207},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}